Psychometrics of the Violence Nonlinear Dynamics Scale

Area of Science:

• Psychology
• Public Health
• Complex Systems Science

Background:

• Intimate partner violence (IPV) dynamics exhibit nonlinearity, impacting patient outcomes more than frequency or severity.
• Measuring IPV nonlinearity is challenging due to the need for extensive time-series data.
• Existing methods lack practicality for routine clinical or research application.

Purpose of the Study:

• To develop and psychometrically assess a novel pencil-and-paper instrument for estimating violence nonlinearity.
• To create a practical tool for capturing the complex dynamics of intimate partner violence.

Main Methods:

• Adult women (N=143) reporting recent IPV completed daily assessments via interactive voice response for 8 weeks.
• A 30-item instrument, based on complex adaptive systems, assessed nonlinearity correlates.
• Three nonlinearity measures were computed: LZ complexity, approximate entropy, and Lyapunov exponent.

Main Results:

• Factor analysis identified a 10-item Violence Nonlinearity Dynamics Scale (VNDS).
• The VNDS demonstrated strong internal consistency (α=0.817) and split-half reliability (r=0.796).
• The scale showed concurrent and construct validity, correlating with established nonlinearity measures and correlates.

Conclusions:

• The Violence Nonlinearity Dynamics Scale (VNDS) is a reliable and valid measure of IPV nonlinearity.
• The VNDS can facilitate the assessment of violence dynamics in IPV research and clinical practice.
• This tool offers a practical approach to understanding complex violence patterns and their impact on patient outcomes.